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Number of items: 7.

Article

Pound, Michael P. and Atkinson, Jonathan A. and Townsend, Alexandra J. and Wilson, Michael H. and Griffiths, Marcus and Jackson, Aaron S. and Bulat, Adrian and Tzimiropoulos, Georgios and Wells, Darren M. and Murchie, Erik H. and Pridmore, Tony P. and French, Andrew P. (2017) Deep machine learning provides state-of-the-art performance in image-based plant phenotyping. GigaScience, 6 (10). pp. 1-10. ISSN 2047-217X

Morris, Emily C. and Griffiths, Marcus and Golebiowska, Agata and Mairhofer, Stefan and Burr-Hersey, Jasmine and Goh, Tatsuaki and von Wangenheim, Daniel and Atkinson, Brian and Sturrock, Craig J. and Lynch, Jonathan P. and Vissenberg, Kris and Ritz, Karl and Wells, Darren M. and Mooney, Sacha J. and Bennett, Malcolm J. (2017) Shaping 3D root system architecture. Current Biology, 27 (17). R919-R930. ISSN 1879-0445

Atkinson, Jonathan A. and Lobet, Guillaume and Noll, Manuel and Meyer, Patrick E. and Griffiths, Marcus and Wells, Darren M. (2017) Combining semi-automated image analysis techniques with machine learning algorithms to accelerate large-scale genetic studies. GigaScience, 6 (10). pp. 1-7. ISSN 2047-217X

Postma, Johannes A. and Kuppe, Christian and Owen, Markus R. and Mellor, Nathan L. and Griffiths, Marcus and Bennett, Malcolm J. and Lynch, Jonathan P. and Watt, Michelle (2017) OpenSimRoot: widening the scope and application of root architectural models. New Phytologist, 215 (3). pp. 1274-1286. ISSN 1469-8137

Atkinson, Jonathan A. and Wingen, Luzie U. and Griffiths, Marcus and Pound, Michael P. and Gaju, Oorbessy and Foulkes, John and Le Gouis, Jacques and Griffiths, Simon and Bennett, Malcolm J. and King, Julie and Wells, Darren M. (2015) Phenotyping pipeline reveals major seedling root growth QTL in hexaploid wheat. Journal of Experimental Botany, 66 (8). pp. 2283-2292. ISSN 1460-2431

Other

Atkinson, Jonathan A. and Lobet, Guillaume and Noll, Manuel and Meyer, Patrick E. and Griffiths, Marcus and Wells, Darren M. (2017) Combining semi-automated image analysis techniques with machine learning algorithms to accelerate large scale genetic studies. bioRxiv, Cold Spring Harbor, N.Y., USA.

Pound, Michael P. and Burgess, Alexandra J. and Wilson, Michael H. and Atkinson, Jonathan A. and Griffiths, Marcus and Jackson, Aaron S. and Bulat, Adrian and Tzimiropoulos, Yorgos and Wells, Darren M. and Murchie, Erik H. and Pridmore, Tony P. and French, Andrew P. (2016) Deep machine learning provides state-of-the art performance in image-based plant phenotyping. Cold Spring Harbor Laboratory.

This list was generated on Wed Dec 13 15:08:37 2017 UTC.